Daily Outlines

  1. January 29 , first day of class.
  2. January 31, univariate distributions.
  3. February 1, numerical summaries of univariate distributions.
  4. February 4, boxplots and side-by-side boxplots.
  5. February 5, two variables, at least one quantitative.
  6. February 7, two quantitative variables.
  7. February 8. the least squares line.
  8. February 11, non-linear relationships.
  9. February 12. simple random samples.
  10. February 14. other random samples.
  11. February 15. likelihood and probability.
  12. February 18. probability, fundamental notions.
  13. February 19. counting.
  14. February 21. axioms.
  15. February 22. estimating probabilities.
  16. February 25. conditional probability.
  17. Test I.
  18. February 28. conditional probability..
  19. February 29. independence and the binomial distribution.
  20. March 3. discrete random variables.
  21. March 4. hypothesis tests.
  22. March 6. continuous random variables.
  23. March 7. continuous random variables
  24. March 17 .continuous random variables.
  25. March 18. distributions, laboratory.
  26. March 20. mean of a distribution.
  27. March 24. variance of a distribution.
  28. March 25. normal distribution.
  29. March 27. sampling distributions
  30. March 28. distribution of the sample mean. .
  31. March 31. estimators.
  32. Test II.
  33. April 3. confidence intervals for the mean.
  34. April 4. confidence intervals for the mean II.
  35. April 7. confidence interval for a proportion.
  36. April 8. bootstrap.
  37. April 10. hypothesis tests for means.
  38. April 11. experimental design and helicopter instructions.
  39. April 14. experimental design.
  40. April 15. flight testing.
  41. April 17. Two categorical variables.
  42. April 18. two categorical variables.
  43. April 21. one categorical and one quantitative variable.
  44. April 24. the linear model.
  45. April 25. inferences about beta.
  46. April 28. test review. inference chart. inference examples.
  47. April 29. . Test III.
  48. May 1. confidence intervals for the line and the Enhance study.
  49. May 2. residuals and the UROP study.
  50. May 5. residuals, multiple regression, and the NBA study.
  51. May 6. multiple regression.
  52. May 8. which model?